These are the flagship POTION models. Load them and use them with model2vec (https://github.com/MinishLab/model2vec) or sentence-transformers
Minish
non-profit
AI & ML interests
small models
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Hello, we're Minish!
About us
We're an open-source lab, with a focus on Natural Language Processing. Minish is currently maintained by @pringled. The lab was originally founded by @pringled and @stephantul.
We believe that if you make models fast enough, you unlock new possibilities.
Using our models and packages, you can:
- Embed the entire English Wikipedia in 5 minutes
- Classify tens of thousands of documents per second on a CPU
- Approximately deduplicate extremely large datasets in minutes
- Build the fastest RAG application in the world
- Easily evaluate which ANN algorithm works best for your data
Our projects:
- model2vec: tiny static embedding models with state-of-the-art performance.
- potion: the best small models in the world. 100-500x faster than a sentence-transformer, and almost as good.
- vicinity: consistent interfaces to many approximate nearest neighbor algorithms.
- semhash: lightning-fast, super accuracte, semantic deduplication and filtering for your text datasets.
- model2vec-rs: a Rust port of model2vec.
models
13
minishlab/potion-base-4M
Updated
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1.65k
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8
minishlab/potion-base-2M
Updated
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36.6k
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15
minishlab/potion-base-8M
Updated
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270k
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71
minishlab/potion-8m-edu-classifier
Updated
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1
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2
minishlab/potion-multilingual-128M
Updated
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51.2k
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32
minishlab/potion-retrieval-32M
Updated
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19.5k
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24
minishlab/potion-base-32M
Updated
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120k
•
18
minishlab/potion-science-8M
Updated
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3
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2
minishlab/potion-science-32M
Updated
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149
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2
minishlab/M2V_base_glove_subword
Updated
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17
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2